Latest Contributions by EricEagle

I'm attempting to load a rather large KMZ with images (pop-ups, not overlays) embedded.  Importing the geometric types works fine.  It also pulls across all the HTML snippet code without problem.  However it fails to load the image in the popup, rendering just a box with an X in it.  When I load the same KMZ in Google Earth it works fine.  When I load it in ArcGIS Earth it also works just fine. In the attribute table, the img src tags are correct; there are no broken links or missing files.  Am I missing something? I am on ArcGIS Pro 2.3. ... View more

I rely heavily on tessellation to aggregate and summarize extremely dense point content.  Currently the only limiting environmental variable the GenerateTessellation_management() method uses is Extent.  This is inefficient as I demonstrate in the simplified graphic above.  In this case, I would spend loads of time building cells over an extent, the majority of which has no data, and that will be discarded later anyway. I would like for the Generate Tessellation tool to support not only Extent, but Mask (vector polygon) to build cells. ... View more

Can someone tell me in my code where I'm not properly dismissing schema locks?  Currently when I attempt to run the tessellation, I get ERROR 000464: Cannot get exclusive schema lock.  Either being edited or in use by another application. In this case I am not running the application, only the IDE.  What am I missing? Background: I am taking huge point data files that come to me unprojected, automating a UTM zone projection to put it into metric units, and then making a determination of whether the extent is so big (it fluctuates) that it warrants splitting into smaller chunks, which I will do through tessellation.  I am not using minimum bounding geometry because Esri has helpfully limited the Envelope functionality to advanced licenses, and all of my users are on standard licenses import arcpy def get_vector_center(vector): sample_mean = "sample_mean" sample_center = arcpy.MeanCenter_stats(vector, "in_memory/{}".format(sample_mean)) return sample_center tempgdb = "C:/Temp/scratchdb.gdb" input_sample = "C:/Temp/dots.shp" arcpy.env.workspace = tempgdb arcpy.env.overwriteOutput = True # prep data utm_fc = "C:/Temp/foundation.gdb/utm_zones_with_epsg" center = get_vector_center(input_sample) # do a join utm_zone = arcpy.SpatialJoin_analysis(utm_fc, center, "in_memory/zone", "#", "KEEP_COMMON", "#", "CONTAINS") # get the zone with arcpy.da.SearchCursor("in_memory/zone", ['EPSG']) as vcursor: for row in vcursor: epsg = (int(row[0])) print("Got EPSG code {}".format(epsg)) # construct the sr object sr = arcpy.SpatialReference(epsg) sr.factoryCode = epsg sr.create() # project the original content with the right utm zone output_layer = "output_utm" fixed_data = arcpy.Project_management(input_sample, output_layer, sr) # now manually create envelope in correct projection since no advanced license e = arcpy.Describe(output_layer) xmin = e.Extent.XMin ymin = e.Extent.YMin xmax = e.Extent.XMax ymax = e.Extent.YMax coordinates = [(xmin, ymin), (xmin, ymax), (xmax, ymax), (xmax, ymin)] polygon = arcpy.CreateFeatureclass_management(tempgdb, "poly_from_extent", "POLYGON", spatial_reference=sr) feature_class = polygon[0] # write the geometry from extent to create envelope with arcpy.da.InsertCursor(feature_class, ['SHAPE@']) as cursor: cursor.insertRow([coordinates]) o = arcpy.Describe(feature_class) # now check for >100km2 area to see if we should tesselate for faster processing t_out = "parent_tgrid" oe = o.Extent with arcpy.da.SearchCursor(feature_class, 'SHAPE@AREA') as acursor: for row in acursor: if row[0] > 100000000: print("{} greater than 10K km2, splitting...".format(row[0]) tgrid = arcpy.GenerateTessellation_management(t_out, oe, "SQUARE", 100000000, sr) print("Splitting complete") else: print("point extent smaller than 10K km2, not splitting.") ‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ ... View more

I'm using the Generate Tesselation tool to create a hex grid over a large amount of point data. The problem is that the data does not fill the majority of the extent, so Generate Tesselation ends up creating a whole bunch of pointless grid cells over area that I don't care about.  And because Generate Tesselation is a single-threaded, single-core affinity, IO bound process, it's already slow to begin with. Here is a simple illustration of the problem: Is there a way for me to be able to create hex cells only in the hull around the cluster?  In other words is there a way to create cells by mask and not by Extent?  Python solutions are fine. ... View more

On the Parallel Processing Factor environment documentation, it reads: Tools that honor the Parallel Processing Factor environment will divide and perform operations across multiple processes. It is unclear which tools these are.  Is there a list of such tools?  I ran a hex grid script over a large area using Generate Tesselation and while it didn't give me any feedback on using a parallel processing factor, only one of my cores out of 36 was used to complete the job. ... View more

I would like to set ArcGIS Pro to draw a point cloud of more than 10M points at a time.   I have a merged point cloud of around 300M points and my workstation has no problem rendering it all in QT Modeler.  In Pro, it locks me to 10M points.   It also does some weird tiling sort of thing (as part of the scene layer package, I guess) that causes regions of the point cloud to render inconsistently depending on my viewing angle and altitude.  I would like to load the entire thing in and have it all render at every scale.   Granted, this is a high end workstation, but in principle it should be up to the user to set their own quality/performance tradeoff. ... View more

For some reason, map creators cannot modify popups for GeoRSS feeds: http://enterprise.arcgis.com/en/portal/latest/use/georss.htm This should be changed. You can configure popups for WFS.  Why is this?  Text is text. ... View more